电网技术2011，Vol.35Issue(9)：66-70,5.
多种群蚁群优化算法在大型水电站自动发电控制机组优化组合中的应用
Application of Multi-colony Ant Optimization in Optimal Commitment of Automatic Generation Control Units in Large-Scale Hydropower Station
摘要
Abstract
To solve the optimal commitment of AGC units in large-scale hydropower stations, a multi-colony ant optimization algorithm, which can prevent from premature convergence and improve the convergence precision, is proposed. Meanwhile, synthetically considering the balance of water and electric power and operational restraints of reservoir and generation units, a loop iteration strategy for flow rate-water head-power output is proposed to calculate dynamic water head of each time interval, and system reserve capacity repair technique based on priority sequence table of unit commitment is led in to optimize unit commitment of AGC units in hydropower station. The proposed algorithm is applied to unit commitment of AGC units in Gezhouba hydropower station, and the comparison of the optimal commitment of AGC units solved by the proposed method with the results by other methods shows that the proposed method possesses better global optimization ability, its calculation is faster and its solution is more accurate than other methods.关键词
蚁群优化算法/自动发电控制/机组组合/水电站Key words
ant colony optimization algorithm/automatic generation control (AGC)/unit commitment/hydropower station分类
信息技术与安全科学引用本文复制引用
王永强,周建中,肖文,王珍珍,张勇传..多种群蚁群优化算法在大型水电站自动发电控制机组优化组合中的应用[J].电网技术,2011,35(9):66-70,5.基金项目
"十一五"国家科技支撑计划重大项目(2008BAB29B08) （2008BAB29B08）
国家重点基础研究发展计划项目(973项目X2007CB714107) （973项目X2007CB714107）
水利部公益性行业科研专项(201001080) （201001080）
